0389233 20240111140827.620130221235959.9 000315162700006 84878336911 10.1117/1.JEI.22.1.011003 8 s. P cav_un_epca*02537101017-9909221 (2013) deconvolution motion sensors smartphones cav_un_auth*0289364 Šindelář O. CZ cav_un_auth*0101209 Šroubek Filip Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2013/ZOI/sroubek-0389233.pdf M100751201 GA AV ČR CZ cav_un_auth*0289164 GAP103/11/1552 GA ČR cav_un_auth*0273618 Long exposure hand-held photography is degraded with blur, which is difficult to remove without prior information about the camera motion. In this work, we utilize inertial sensors (accelerometers and gyroscopes) in modern smartphones to detect exact motion trajectory of the smartphone camera during exposure and remove blur from the resulting photography based on the recorded motion data. The whole system is implemented on Android platform and embedded in the smartphone device resulting in a close-to-real-time deblurring algorithm. The performance of the proposed system is demonstrated in real-life scenarios. 2014 JD 2 4 X 4x 20231122135519.3 RVO:67985556 http://hdl.handle.net/11104/0218412 ENGINEERINGELECTRICALELECTRONIC|IMAGINGSCIENCEPHOTOGRAPHICTECHNOLOGY|OPTICS 1.024 0.115 7.I 0.00256 0.31 1255 191 0.311 ScienceCitationIndexExpanded Q2 26.076 32.337 Q4 Q3 2013 Soubory v repozitáři: sroubek-0389233.pdf 84878336911 SCOPUS 000315162700006 WOS pdf cav_un_epca*0253710 Journal of Electronic Imaging 1017-9909 1560-229X Roč. 22 č. 1 2013 , 011003-1-011003-8